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wav2vec2-base-persian

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !mkdir -p /home/m3hrdadfi/code/data\n",
    "# %cd /home/m3hrdadfi/code/data\n",
    "# !wget https://voice-prod-bundler-ee1969a6ce8178826482b88e843c335139bd3fb4.s3.amazonaws.com/cv-corpus-6.1-2020-12-11/fa.tar.gz && tar -xzf fa.tar.gz\n",
    "# %cd /home/m3hrdadfi/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/m3hrdadfi/data/fa/cvfa/fa\n",
      "/home/m3hrdadfi/data/fa\n",
      "\n",
      "cvfa  fa.tar.gz\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/dev.tsv\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/invalidated.tsv\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/other.tsv\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/reported.tsv\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/test.tsv\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/train.tsv\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/validated.tsv\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "lang = \"fa\"\n",
    "abs_path_to_data = os.path.join(f\"/home/m3hrdadfi/data/{lang}\", f\"cv{lang}\", lang)\n",
    "save_path = \"/\".join(abs_path_to_data.split('/')[:-2])\n",
    "print(abs_path_to_data)\n",
    "print(save_path)\n",
    "print()\n",
    "!ls {save_path}\n",
    "!ls {abs_path_to_data}/*.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 0: 5213\n",
      "Step 1: 5213\n",
      "Step 2: 5213\n",
      "Step 3: 5213\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>از مهمونداری کنار بکشم</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>برو از مهرداد بپرس.</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>خب ، تو چیكار می كنی؟</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>مسقط پایتخت عمان در عربی به معنای محل سقوط است</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>آه، نه اصلاُ!</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                         sentence  \\\n0                          از مهمونداری کنار بکشم   \n1                             برو از مهرداد بپرس.   \n2                           خب ، تو چیكار می كنی؟   \n3  مسقط پایتخت عمان در عربی به معنای محل سقوط است   \n4                                   آه، نه اصلاُ!   \n\n                                                path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df = pd.read_csv(f\"{abs_path_to_data}/test.tsv\", sep=\"\\t\")\n",
    "\n",
    "print(f\"Step 0: {len(test_df)}\")\n",
    "\n",
    "test_df[\"path\"] = abs_path_to_data + \"/clips/\" + test_df[\"path\"]\n",
    "test_df[\"status\"] = test_df[\"path\"].apply(lambda path: True if os.path.exists(path) else None)\n",
    "test_df = test_df.dropna(subset=[\"path\"])\n",
    "test_df = test_df.drop(\"status\", 1)\n",
    "print(f\"Step 1: {len(test_df)}\")\n",
    "\n",
    "test_df = test_df.dropna(subset=[\"sentence\"])\n",
    "print(f\"Step 2: {len(test_df)}\")\n",
    "\n",
    "test_df = test_df[[\"sentence\", \"path\"]]\n",
    "test_df = test_df.drop_duplicates(subset=\"path\")\n",
    "print(f\"Step 3: {len(test_df)}\")\n",
    "\n",
    "test_df = test_df.reset_index(drop=True)\n",
    "test_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12806\n",
      "Step 0: 286975\n",
      "Step 1: 286975\n",
      "Step 2: 286975\n",
      "Step 3: 274169\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>رآس ، اینجا چه خبره ؟</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>ممکن است آن را تعمیر کنید وقتی منتظر هستم؟</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>دلم برای تو تنگ شده است.</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>دارم اتاقم را تمیز میکنم.</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>هاورد باهاتون صحبت کنم</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                     sentence  \\\n0                       رآس ، اینجا چه خبره ؟   \n1  ممکن است آن را تعمیر کنید وقتی منتظر هستم؟   \n2                    دلم برای تو تنگ شده است.   \n3                   دارم اتاقم را تمیز میکنم.   \n4                      هاورد باهاتون صحبت کنم   \n\n                                                path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_train_df = pd.concat([\n",
    "    pd.read_csv(f\"{abs_path_to_data}/train.tsv\", sep=\"\\t\"),\n",
    "    pd.read_csv(f\"{abs_path_to_data}/dev.tsv\", sep=\"\\t\"),\n",
    "])\n",
    "print(len(_train_df))\n",
    "\n",
    "train_df = pd.concat([\n",
    "    pd.read_csv(f\"{abs_path_to_data}/train.tsv\", sep=\"\\t\"),\n",
    "    pd.read_csv(f\"{abs_path_to_data}/dev.tsv\", sep=\"\\t\"),\n",
    "    pd.read_csv(f\"{abs_path_to_data}/validated.tsv\", sep=\"\\t\"),\n",
    "    pd.read_csv(f\"{abs_path_to_data}/other.tsv\", sep=\"\\t\"),\n",
    "])\n",
    "print(f\"Step 0: {len(train_df)}\")\n",
    "\n",
    "train_df[\"path\"] = abs_path_to_data + \"/clips/\" + train_df[\"path\"]\n",
    "train_df[\"status\"] = train_df[\"path\"].apply(lambda path: True if os.path.exists(path) else None)\n",
    "train_df = train_df.dropna(subset=[\"path\"])\n",
    "train_df = train_df.drop(\"status\", 1)\n",
    "print(f\"Step 1: {len(train_df)}\")\n",
    "\n",
    "train_df = train_df.dropna(subset=[\"sentence\"])\n",
    "print(f\"Step 2: {len(train_df)}\")\n",
    "\n",
    "train_df = train_df[[\"sentence\", \"path\"]]\n",
    "train_df = train_df.drop_duplicates(subset=\"path\")\n",
    "print(f\"Step 3: {len(train_df)}\")\n",
    "\n",
    "train_df = train_df.sample(frac=1)\n",
    "train_df = train_df.reset_index(drop=True)\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5213/5213 [02:58<00:00, 29.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found #5213 test data\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "\n",
    "testset_indices = []\n",
    "\n",
    "for index, row in tqdm(test_df.iterrows(), total=len(test_df), position=0):\n",
    "    _id = row[\"path\"]\n",
    "    finder = train_df[train_df[\"path\"] == _id]\n",
    "    if len(finder) > 0:\n",
    "        testset_indices.extend(list(finder.index))\n",
    "\n",
    "testset_indices = list(set(testset_indices))\n",
    "print(f\"Found #{len(testset_indices)} test data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "274169\n",
      "268956\n"
     ]
    }
   ],
   "source": [
    "print(len(train_df))\n",
    "train_df = train_df.drop(testset_indices)\n",
    "print(len(train_df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 274169 entries, 0 to 5212\n",
      "Data columns (total 2 columns):\n",
      " #   Column    Non-Null Count   Dtype \n",
      "---  ------    --------------   ----- \n",
      " 0   sentence  274169 non-null  object\n",
      " 1   path      274169 non-null  object\n",
      "dtypes: object(2)\n",
      "memory usage: 6.3+ MB\n",
      "None\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 274169 entries, 0 to 274168\n",
      "Data columns (total 2 columns):\n",
      " #   Column    Non-Null Count   Dtype \n",
      "---  ------    --------------   ----- \n",
      " 0   sentence  274169 non-null  object\n",
      " 1   path      274169 non-null  object\n",
      "dtypes: object(2)\n",
      "memory usage: 4.2+ MB\n",
      "None\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>رآس ، اینجا چه خبره ؟</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>ممکن است آن را تعمیر کنید وقتی منتظر هستم؟</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>دلم برای تو تنگ شده است.</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>دارم اتاقم را تمیز میکنم.</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>هاورد باهاتون صحبت کنم</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                     sentence  \\\n0                       رآس ، اینجا چه خبره ؟   \n1  ممکن است آن را تعمیر کنید وقتی منتظر هستم؟   \n2                    دلم برای تو تنگ شده است.   \n3                   دارم اتاقم را تمیز میکنم.   \n4                      هاورد باهاتون صحبت کنم   \n\n                                                path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.concat([train_df, test_df], axis=0)\n",
    "print(df.info())\n",
    "df = df.reset_index(drop=True)\n",
    "print(df.info())\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torchaudio\n",
    "import librosa\n",
    "import IPython.display as ipd\n",
    "import numpy as np\n",
    "\n",
    "def load_audio(path):\n",
    "    speech, sr = torchaudio.load(path)\n",
    "    speech = speech[0].numpy().squeeze()    \n",
    "    speech = librosa.resample(np.asarray(speech), sr, 16_000)\n",
    "    \n",
    "    print(speech.shape, sr)\n",
    "    \n",
    "    ipd.display(ipd.Audio(data=np.asarray(speech), autoplay=True, rate=16000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# main_vocab = [\"ح\", \"چ\", \"ج\", \"ث\", \"ت\", \"پ\", \"ب\", \"آ\", \"ا\", \"ش\", \"س\", \"ژ\", \"ز\", \"ر\", \"ذ\", \"د\", \"خ\", \"ق\", \"ف\", \"غ\", \"ع\", \"ظ\", \"ط\", \"ض\", \"ص\", \"ی\", \"ه\", \"و\", \"ن\", \"م\", \"ل\", \"گ\", \"ک\"]\n",
    "# text = \" \".join(df[\"sentence\"].values.tolist())\n",
    "# vocab = list(sorted(set(text)))\n",
    "\n",
    "# for v in main_vocab:\n",
    "#     if v not in vocab:\n",
    "#         print(\"v\", v)\n",
    "\n",
    "# print(len(main_vocab), len(vocab))\n",
    "# print(len(vocab), vocab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "sentence           می توانید لطفاً سفر را برای من ترتیب دهید؟\npath        /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...\nName: 95177, dtype: object"
     },
     "metadata": {
      "transient": {}
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "می توانید لطفاً سفر را برای من ترتیب دهید؟\n",
      "\n",
      "(70272,) 48000\n"
     ]
    },
    {
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\" type=\"audio/wav\" />\n                    Your browser does not support the audio element.\n                </audio>\n              ",
      "text/plain": "<IPython.lib.display.Audio object>"
     },
     "metadata": {
      "transient": {}
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>رآس ، اینجا چه خبره ؟</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>ممکن است آن را تعمیر کنید وقتی منتظر هستم؟</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>دلم برای تو تنگ شده است.</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>دارم اتاقم را تمیز میکنم.</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>هاورد باهاتون صحبت کنم</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                     sentence  \\\n0                       رآس ، اینجا چه خبره ؟   \n1  ممکن است آن را تعمیر کنید وقتی منتظر هستم؟   \n2                    دلم برای تو تنگ شده است.   \n3                   دارم اتاقم را تمیز میکنم.   \n4                      هاورد باهاتون صحبت کنم   \n\n                                                path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "\n",
    "idx = np.random.randint(0, len(df))\n",
    "# idx = 6140\n",
    "sample = df.iloc[idx]\n",
    "ipd.display(sample)\n",
    "\n",
    "print()\n",
    "print(sample[\"sentence\"])\n",
    "print()\n",
    "load_audio(sample[\"path\"])\n",
    "\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 268956 entries, 0 to 274168\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count   Dtype \n",
      "---  ------    --------------   ----- \n",
      " 0   sentence  268956 non-null  object\n",
      " 1   path      268956 non-null  object\n",
      " 2   _path     268956 non-null  object\n",
      "dtypes: object(3)\n",
      "memory usage: 8.2+ MB\n",
      "None\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_voice_fa_20100079.mp3\n",
      "/home/m3hrdadfi/data/fa/clips/common_voice_fa_20100079.mp3\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n      <th>_path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>رآس ، اینجا چه خبره ؟</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>ممکن است آن را تعمیر کنید وقتی منتظر هستم؟</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>دلم برای تو تنگ شده است.</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>دارم اتاقم را تمیز میکنم.</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>هاورد باهاتون صحبت کنم</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                     sentence  \\\n0                       رآس ، اینجا چه خبره ؟   \n1  ممکن است آن را تعمیر کنید وقتی منتظر هستم؟   \n2                    دلم برای تو تنگ شده است.   \n3                   دارم اتاقم را تمیز میکنم.   \n4                      هاورد باهاتون صحبت کنم   \n\n                                                path  \\\n0  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n1  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n2  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n3  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n4  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n\n                                               _path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_train_df = train_df.copy()\n",
    "new_train_df[\"_path\"] = new_train_df[\"path\"]\n",
    "new_train_df[\"path\"] = new_train_df[\"path\"].apply(lambda t: os.path.join(\"/home/m3hrdadfi/data/fa/clips\", t.split(\"/\")[-1]))\n",
    "print(new_train_df.info())\n",
    "print(new_train_df.iloc[0][\"_path\"])\n",
    "print(new_train_df.iloc[0][\"path\"])\n",
    "new_train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5213 entries, 0 to 5212\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   sentence  5213 non-null   object\n",
      " 1   path      5213 non-null   object\n",
      " 2   _path     5213 non-null   object\n",
      "dtypes: object(3)\n",
      "memory usage: 122.3+ KB\n",
      "None\n",
      "/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_voice_fa_18325365.mp3\n",
      "/home/m3hrdadfi/data/fa/clips/common_voice_fa_18325365.mp3\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n      <th>_path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>از مهمونداری کنار بکشم</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>برو از مهرداد بپرس.</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>خب ، تو چیكار می كنی؟</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>مسقط پایتخت عمان در عربی به معنای محل سقوط است</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>آه، نه اصلاُ!</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                         sentence  \\\n0                          از مهمونداری کنار بکشم   \n1                             برو از مهرداد بپرس.   \n2                           خب ، تو چیكار می كنی؟   \n3  مسقط پایتخت عمان در عربی به معنای محل سقوط است   \n4                                   آه، نه اصلاُ!   \n\n                                                path  \\\n0  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n1  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n2  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n3  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n4  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n\n                                               _path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_test_df = test_df.copy()\n",
    "new_test_df[\"_path\"] = new_test_df[\"path\"]\n",
    "new_test_df[\"path\"] = new_test_df[\"path\"].apply(lambda t: os.path.join(\"/home/m3hrdadfi/data/fa/clips\", t.split(\"/\")[-1]))\n",
    "print(new_test_df.info())\n",
    "print(new_test_df.iloc[0][\"_path\"])\n",
    "print(new_test_df.iloc[0][\"path\"])\n",
    "new_test_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "import shutil\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/m3hrdadfi/data/fa\n"
     ]
    }
   ],
   "source": [
    "print(save_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "!mkdir -p {save_path}/clips\n",
    "!mkdir -p {save_path}/augs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 268956/268956 [02:40<00:00, 1675.19it/s]\n"
     ]
    }
   ],
   "source": [
    "for index, row in tqdm(new_train_df.iterrows(), position=0, total=len(new_train_df)):\n",
    "    shutil.copy(row[\"_path\"], row[\"path\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5213/5213 [00:01<00:00, 4777.79it/s]\n"
     ]
    }
   ],
   "source": [
    "for index, row in tqdm(new_test_df.iterrows(), position=0, total=len(new_test_df)):\n",
    "    shutil.copy(row[\"_path\"], row[\"path\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 26896 entries, 0 to 26895\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   sentence  26896 non-null  object\n",
      " 1   path      26896 non-null  object\n",
      " 2   _path     26896 non-null  object\n",
      "dtypes: object(3)\n",
      "memory usage: 630.5+ KB\n",
      "None\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n      <th>_path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>کدامیک ارزان تر است؟</td>\n      <td>/home/m3hrdadfi/data/fa/augs/common_voice_fa_2...</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>آیا قرمز را بیشتر از آبی دوست داری؟</td>\n      <td>/home/m3hrdadfi/data/fa/augs/common_voice_fa_2...</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>من می خوام کمک کنم</td>\n      <td>/home/m3hrdadfi/data/fa/augs/common_voice_fa_1...</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>در آفریقای جنوبی، برنامهای به نام دختران تکنو هست</td>\n      <td>/home/m3hrdadfi/data/fa/augs/common_voice_fa_1...</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>حالا، این موضوع به ما فرصت ایجاد چند سناریو را...</td>\n      <td>/home/m3hrdadfi/data/fa/augs/common_voice_fa_1...</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                            sentence  \\\n0                               کدامیک ارزان تر است؟   \n1                آیا قرمز را بیشتر از آبی دوست داری؟   \n2                                 من می خوام کمک کنم   \n3  در آفریقای جنوبی، برنامهای به نام دختران تکنو هست   \n4  حالا، این موضوع به ما فرصت ایجاد چند سناریو را...   \n\n                                                path  \\\n0  /home/m3hrdadfi/data/fa/augs/common_voice_fa_2...   \n1  /home/m3hrdadfi/data/fa/augs/common_voice_fa_2...   \n2  /home/m3hrdadfi/data/fa/augs/common_voice_fa_1...   \n3  /home/m3hrdadfi/data/fa/augs/common_voice_fa_1...   \n4  /home/m3hrdadfi/data/fa/augs/common_voice_fa_1...   \n\n                                               _path  \n0  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...  \n1  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...  \n2  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...  \n3  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...  \n4  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...  "
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# aug_train_df = new_train_df.copy()\n",
    "aug_train_df = new_train_df.sample(frac=0.1)\n",
    "aug_train_df = aug_train_df.reset_index(drop=True)\n",
    "aug_train_df[\"_path\"] = aug_train_df[\"path\"]\n",
    "aug_train_df[\"path\"] = aug_train_df[\"path\"].apply(lambda t: \"/\".join(t.split('.')[:-1]).replace(\"clips\", \"augs\") + \"_aug.mp3.wav\")\n",
    "print(aug_train_df.info())\n",
    "aug_train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/m3hrdadfi/data/fa/clips/common_voice_fa_20109281.mp3\n",
      "/home/m3hrdadfi/data/fa/augs/common_voice_fa_20109281_aug.mp3.wav\n"
     ]
    }
   ],
   "source": [
    "print(aug_train_df.iloc[0][\"_path\"])\n",
    "print(aug_train_df.iloc[0][\"path\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# augmentation\n",
    "\n",
    "from audiomentations import Compose, AddGaussianNoise, TimeStretch, PitchShift, Shift, Gain\n",
    "import numpy as np\n",
    "import soundfile as sf\n",
    "\n",
    "augment = Compose([\n",
    "#     AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=0.5),\n",
    "#     PitchShift(min_semitones=-1, max_semitones=2, p=0.2),\n",
    "#     Gain(min_gain_in_db=-6, max_gain_in_db=6, p=0.8)\n",
    "    AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=0.5),\n",
    "    TimeStretch(min_rate=0.8, max_rate=1.25, p=0.5),\n",
    "    PitchShift(min_semitones=-4, max_semitones=4, p=0.5),\n",
    "])\n",
    "\n",
    "def augmented_speech_file_to_array_fn(in_path, out_path):\n",
    "    speech_array, sampling_rate = torchaudio.load(in_path)\n",
    "    speech_array = speech_array.squeeze().numpy()\n",
    "    speech_array = augment(samples=speech_array, sample_rate=sampling_rate)\n",
    "    sf.write(out_path, speech_array, sampling_rate, \"PCM_24\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 26896/26896 [1:18:09<00:00,  5.74it/s]\n"
     ]
    }
   ],
   "source": [
    "for index, row in tqdm(aug_train_df.iterrows(), position=0, total=len(aug_train_df)):\n",
    "    augmented_speech_file_to_array_fn(row[\"_path\"], row[\"path\"])\n",
    "# !ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 295852 entries, 0 to 295851\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count   Dtype \n",
      "---  ------    --------------   ----- \n",
      " 0   sentence  295852 non-null  object\n",
      " 1   path      295852 non-null  object\n",
      " 2   _path     295852 non-null  object\n",
      "dtypes: object(3)\n",
      "memory usage: 6.8+ MB\n",
      "None\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n      <th>_path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>اما دیدم نه،هیچ جوره نمیتونم ببخشمش به خدا گفت...</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>برای امروز.</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>چون اگر میدانیم چیزی که بیگناه در نظر میگیریم ...</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>ضمیر من را بدانید -- آقا، خانم، ایشان</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>تا تقویت و تکثیرشان کنیم</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                            sentence  \\\n0  اما دیدم نه،هیچ جوره نمیتونم ببخشمش به خدا گفت...   \n1                                        برای امروز.   \n2  چون اگر میدانیم چیزی که بیگناه در نظر میگیریم ...   \n3              ضمیر من را بدانید -- آقا، خانم، ایشان   \n4                           تا تقویت و تکثیرشان کنیم   \n\n                                                path  \\\n0  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n1  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n2  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n3  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n4  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n\n                                               _path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_train_aug_df = pd.concat([new_train_df, aug_train_df], axis=0)\n",
    "# new_train_aug_df = new_train_df.copy()\n",
    "new_train_aug_df = new_train_aug_df.sample(frac=1)\n",
    "new_train_aug_df = new_train_aug_df.reset_index(drop=True)\n",
    "print(new_train_aug_df.info())\n",
    "new_train_aug_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "'/home/m3hrdadfi/data/fa'"
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "save_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_train_df.to_csv(f\"{save_path}/train_no_aug.csv\", sep=\"\\t\", encoding=\"utf-8\", index=False)\n",
    "new_train_aug_df.to_csv(f\"{save_path}/train_with_aug.csv\", sep=\"\\t\", encoding=\"utf-8\", index=False)\n",
    "new_test_df.to_csv(f\"{save_path}/test.csv\", sep=\"\\t\", encoding=\"utf-8\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "sentence    268956\npath        268956\n_path       268956\ndtype: int64"
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_train_df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "sentence    5213\npath        5213\n_path       5213\ndtype: int64"
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_test_df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "import os\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 268956 entries, 0 to 268955\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count   Dtype \n",
      "---  ------    --------------   ----- \n",
      " 0   sentence  268956 non-null  object\n",
      " 1   path      268956 non-null  object\n",
      " 2   _path     268956 non-null  object\n",
      "dtypes: object(3)\n",
      "memory usage: 6.2+ MB\n",
      "None\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n      <th>_path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>رآس ، اینجا چه خبره ؟</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>ممکن است آن را تعمیر کنید وقتی منتظر هستم؟</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>دلم برای تو تنگ شده است.</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>دارم اتاقم را تمیز میکنم.</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>هاورد باهاتون صحبت کنم</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                     sentence  \\\n0                       رآس ، اینجا چه خبره ؟   \n1  ممکن است آن را تعمیر کنید وقتی منتظر هستم؟   \n2                    دلم برای تو تنگ شده است.   \n3                   دارم اتاقم را تمیز میکنم.   \n4                      هاورد باهاتون صحبت کنم   \n\n                                                path  \\\n0  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n1  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n2  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n3  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n4  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n\n                                               _path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df = pd.read_csv(f\"{save_path}/train_no_aug.csv\", sep=\"\\t\")\n",
    "print(train_df.info())\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5213 entries, 0 to 5212\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   sentence  5213 non-null   object\n",
      " 1   path      5213 non-null   object\n",
      " 2   _path     5213 non-null   object\n",
      "dtypes: object(3)\n",
      "memory usage: 122.3+ KB\n",
      "None\n"
     ]
    },
    {
     "data": {
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>sentence</th>\n      <th>path</th>\n      <th>_path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>از مهمونداری کنار بکشم</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>برو از مهرداد بپرس.</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>خب ، تو چیكار می كنی؟</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>مسقط پایتخت عمان در عربی به معنای محل سقوط است</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>آه، نه اصلاُ!</td>\n      <td>/home/m3hrdadfi/data/fa/clips/common_voice_fa_...</td>\n      <td>/home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
      "text/plain": "                                         sentence  \\\n0                          از مهمونداری کنار بکشم   \n1                             برو از مهرداد بپرس.   \n2                           خب ، تو چیكار می كنی؟   \n3  مسقط پایتخت عمان در عربی به معنای محل سقوط است   \n4                                   آه، نه اصلاُ!   \n\n                                                path  \\\n0  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n1  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n2  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n3  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n4  /home/m3hrdadfi/data/fa/clips/common_voice_fa_...   \n\n                                               _path  \n0  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n1  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n2  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n3  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  \n4  /home/m3hrdadfi/data/fa/cvfa/fa/clips/common_v...  "
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df = pd.read_csv(f\"{save_path}/test.csv\", sep=\"\\t\")\n",
    "print(test_df.info())\n",
    "test_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 268956/268956 [00:11<00:00, 24344.12it/s]\n"
     ]
    }
   ],
   "source": [
    "non_existed_train = []\n",
    "\n",
    "for index, row in tqdm(train_df.iterrows(), total=len(train_df), position=0):\n",
    "    if not os.path.exists(row[\"path\"]):\n",
    "        non_existed_train.extends(list(index))\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[]"
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_existed_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import numpy as np\n",
    "\n",
    "\n",
    "# idx = np.random.randint(0, len(train_df))\n",
    "# # idx = 6140\n",
    "# sample = train_df.iloc[idx]\n",
    "# ipd.display(sample)\n",
    "# # print(sample.iloc[idx][\"prev_sentence\"])\n",
    "# print()\n",
    "# print(sample[\"prev_sentence\"])\n",
    "# print(sample[\"sentence\"])\n",
    "# print()\n",
    "# load_audio(sample[\"path\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train_df_half = train_df.copy()\n",
    "# print(train_df_half.shape)\n",
    "# train_df_half = train_df_half.dropna()\n",
    "# print(train_df_half.shape)\n",
    "# train_df_half = train_df_half.drop_duplicates()\n",
    "# print(train_df_half.shape)\n",
    "\n",
    "# train_df_half = train_df_half.sample(frac=0.5)\n",
    "# train_df_half = train_df_half.reset_index(drop=True)\n",
    "# print(train_df_half.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train_df_half.to_csv(f\"{save_path}/train_no_aug_half.csv\", sep=\"\\t\", encoding=\"utf-8\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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